Image Reception Timing for Predicting Transmission Completion
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Solution Overview
Problem
Existing image transmission systems struggle to determine the completion time and number of images when multiple heterogeneous medical instruments are connected in series, leading to incomplete image processing and potential missing data.
Innovation Solution
An image transmission method and apparatus that predicts the end time of image transmission by determining a time adjustment weight based on the transmission rate of received images, using a combination of current and reference adjustment weights to estimate the completion time of untransmitted images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple heterogeneous medical instruments are connected in series to receive images, then the quantity of images received increases, but the ability to determine transmission completion and image count deteriorates
Solution Approach 1:
The system implements a feedback mechanism where the receiving apparatus continuously monitors the transmission process, calculates transmission rates based on received images, and uses this information to predict the end time of transmission. This feedback loop enables dynamic adjustment and accurate determination of transmission completion status across multiple heterogeneous sources.
Solution Approach 2:
The system performs preliminary actions by calculating the transmission rate based on initially received images and using this rate to predict the end time of transmission before all images are actually received. This allows the system to prepare for transmission completion in advance, ensuring no images are missed even when dealing with multiple heterogeneous sources.
2Adaptability or versatility
If the transmission rate varies across different medical instruments, then the adaptability to different sources improves, but the precision of estimating remaining transmission time deteriorates
Solution Approach 1:
The system dynamically adapts to different transmission rates by continuously calculating the transmission rate based on actual received images from each instrument. Instead of using a fixed rate, the system updates its estimation in real-time, allowing it to accommodate varying transmission speeds across heterogeneous medical instruments while maintaining prediction accuracy.
Solution Approach 2:
The system changes the transmission rate parameter dynamically based on the actual performance of each medical instrument. By calculating the transmission rate from received images and using this updated parameter for predictions, the system adapts to different instruments' characteristics while maintaining accurate end-time estimation.
Data Source
AI summary
An image transmission method and an image receiving apparatus are provided. In the image transmission method, multiple images are received. A time adjustment weight is determined by a transmission rate of multiple transmitted images among the images, and the transmitted images are received. An estimated transmission time of multiple untransmitted images among the images is determined by the time adjustment weight, and the untransmitted images are not received. Accordingly, it may be automatically determined whether a transmission of the images of a collection have been completed.